digitalization in shipping - current status and way forward -€¦ · digitalization in shipping -...

Monohakobi Technology Institute

@ Copyright 2015 Monohakobi Technology Institute

Digitalization in Shipping - current status and way forward -

23rd February 2017

Hideyuki Ando

MTI, NYK Group

DNV GL National Committee Meeting in Kawana, Japan



Outline

1. Digitalization in shipping

2. Application examples

3. Open platform and standardization

4. Way forward and summary



Digitalization - the next techno-economic great wave

1. Use assets more efficiently 1.

2.

3.

4.

5.

2. Produce regulatory information digitally

3. Develop global through transport system

Reference)

Martin Stopford, Shipping’s Next Techno-Economic Great Wave, Tokyo, Dec 2015

(http://www.jpmac.or.jp/forum/pdf/106_1.pdf)

Automate ship operations & navigation

Manage ship/shore personnel into a single more productive team

Integrate fleet systems to improve asset performance

Use big data to find ways to improve performance & reduce accidents

Inform management on how the business is performing



Machinery

IoT (Internet of Things)

“Operation Technology (OT)” and “Information Technology (IT)” are to be bridged.

The era of “transparency” where user can access the field data.

Automation

PLC*

Sensor Actuator

IP Network

Serial, Serial Bus, Analog

Operation Technology (OT) Information Technology (IT)

IP/Ethernet Serial, Serial Bus IP/Ethernet

IP connected Computer

(IoT Gateway)

* PLC: Programmable Logic Controller



Digital Twin An approach of Product Lifecycle Management(PLM) to extend computer-based engineering capabilities to fleet operations

Reference) 1. http://www.gereports.com/post/119300678660/wind-in-the-cloud-how-the-digital-wind-farm-will/ 2. Michael Grieves, Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management (English Edition), 2012

Real (Product, Plant…)

Virtual (3D model, simulation) Information &

Service

IoT data

http://www.gereports.com/post/119300678660/wind-in-the-cloud-how-the-digital-wind-farm-will/





















Utilize IoT in shipping

Target

• Prevent unpredicted downtime (owner)

• Reduce maintenance cost (owner)

• Energy efficiency in operation (operator)

Measure

• Condition monitoring

• Big data analysis

• Support service engineer

• Intelligent machinery – Self diagnostics

• Digital twin

Change way of working !



IoT and Big data application in shipping

Role Function Example of IoT and Big data application

Ship owner

Technical management

• Safety operation • Condition monitoring & maintenance • Environmental regulation compliance • Hull & propeller cleaning • Retrofit & modification

New building • Design optimization

Ship operator

Operation • Energy saving operation • Safe operation • Schedule management

Fleet planning • Fleet planning • Service planning • Chartering

Other partners in value chains, such as cargo owners, shipyards, equipment manufacturers, and class societies, have also interests in ship IoT and Big data.



Outline







IoT platform of NYK SIMS (Ship Information Management System)

Data Center

SIMS IoT data

+ SPAS manual data

VDR

Integrated Automation

System

Shore Dashboard

- For operation

- For ship manager

• Main Engine

• Power plant

• Cargo control

• Auxiliary machineries

• GPS

• Doppler log

• Anemometer

• Gyro Compass

Sat Com (VSAT, FBB)

<Navigation Bridge>

<Engine Room & Cargo>

Onboard dashboard

Motion sensor

SIMS Monitoring & Analysis at Shore

Operation (Tokyo, Singapore …)

Technical Analysis (NYK, MTI)

Big data analysis

- Operational efficiency

- Performance

- Engine & plant condition

SIMS Data Collection Onboard

Analysis

report

SIMS unit (IoT gateway)

Data Acquisition and Processing



@ engine rev. 55rpm

<Calm sea performance>

speed:

FOC*:

<Rough sea(BF8) performance>

speed:

FOC:

Ship performance in service

6000TEU Container Ship

Wave height 5.5m, Wind speed 20m/s

BF scale 8, Head sea @ Trans-Pacific (Oakland, US – Tokyo, JP)

8 knot

60 ton/day

Effecting factors 1. Weather (wind, wave and current), 2. Ship design (hull, propeller, engine), 3. Ship condition (draft, trim, cleanness of hull and propeller, aging effect)

14 knot

45 ton/day * FOC: Fuel Oil Consumption



In-service ship performance model <Target vessel> 6000TEU Container Draft 12m even

0deg (wind, wave) – head sea

ビューフォート階級

風速(m/s)

波高(m)

波周期(sec)

BF0 0.0 0.0 0.0BF3 4.5 0.6 3.0BF4 6.8 1.0 3.9BF5 9.4 2.0 5.5BF6 12.4 3.0 6.7BF7 15.6 4.0 7.7BF8 19.0 5.5 9.1BF9 22.7 7.0 10.2

Sea condition

Beaufort scale wind speed wave height wave period



Ship performance model in service

• Digital Twin of ship performance in-service

• Performances under all possible conditions (draft, trim, wind and wave)

• IoT data are used for correction of the model.



Operation optimization

Voyage simulation with past weather data

Estimation of - Sea margin - FOC and etc.

Ship performance model

Service route

Combine ship performance model with weather data to optimize ship services



Energy saving hull modification

Operation profile

23 % CO2 reduction was confirmed

Energy saving modification

• Bulbous bow modification • Install energy saving device (MT-FAST) • Etc.

• Speed, RPM, Power • Draft, trim, displacement • Weather • Sea margin • Etc.



Prognostics and health monitoring in shipping for preventing troubles

Target

• Prevent unpredicted downtime

• Reduce maintenance cost

• Predict remaining useful life

Measure

• SCADA data analysis

• Condition monitoring (image, vibration, AE and etc.)

• Estimate RUL (Remaining of Useful Life)

Ship main engine

KIRARI NINJA 360-degree panoramic camera to take photos inside the dark combustion chamber

Reference) 1. Prognosticating fault development rate in wind turbine generator bearings using local

trend models (B&K Vibro, DTU), PHM Europe 2016, pp. 132-141 2. https://theta360.com/s/f41xbUZ4smDJX4wsFh7gNUuZg?view=embed



Outline







NYK/MTI’s R&D activities for digitalization - Open collaboration with industry partners -

Collision avoidance and autonomous ship

Simulation of LNG cargo transport

Cargo crane condition monitoring

i-Shipping: Japanese government funding projects

Ship IoT for safety (2016-2020)

Damage prevention of engine-power plant

Propulsive efficiency monitoring

Multi-layered Doppler log

Structural Health Monitoring

i

i

i

i

i



Open platform for maritime industry

LAN

Ship Shore

broadband

Secu

rity

/ a

cces

s co

ntr

ol

User

request

Software agent

data

Data center (operated by neutral body)

Ship owner

Ship Management

company

Shipyard

Performance monitoring

Service Provider

Energy management

Onboard application

• Weather routing • Performance

monitoring • Engine

maintenance • Plant operation

optimization

Weather routing

Data Center

Ship operator

M/E

D/G

Boiler T/G…

VDR

Radar

ECDIS

BMS

….

Engine maker

Engine monitoring

Asia

Ship equipment

maker

Remote maintenance

Secu

rity

/ a

cces

s co

ntr

ol

Europe

Marketing and

Big data analytics

Cargo crane

.

.

.

Class Society

Onboard data server

IoT Open platform (Industry standard)

Application / services (Competition)

Data center (operated by neutral body)



Standardization activities of Ship IoT platform (SSAP2: Smart Ship Application Platform 2 Project by JSMEA)

VDR

Engine D/L

IAS

…

Machinery & Equipment

Ship LAN

Broadband Fleet management

Shore Ship

Own application

Performance

Performance

3rd party application

Condition monitoring

Fleet management

Performance

Weather routing

Own application

3rd party application

Remote diagnostics

Ship Data

Center

Ship – shore open platform

Operator

Cargo owner

Owner

User

Class

Manufacturer

Shipyard

…

Ship manageme

nt

Onboard data

server (standardized)

Proposal of new ISO regarding Ship IoT • ISO/CD19847 - Shipboard data servers to share field data on the sea

• Specifications of ship onboard data server

• ISO/CD19848 - Standard data for machinery and equipment part of ship • Specifications of dictionary and format

Onboard data

server (standardized)

JSMEA: Japan Ship Machinery and Equipment Association



Shipboard data server

ISO CD 19847

• Requirements for shipboard data servers to collect and share field data

Input Data

IEC61162-1/2 Sentence data

ISO/CD 19848 Format data

File based on ISO/CD 19848

Input Function

Data Streaming

Data Stored

Output Function

Streaming Transport

service

Request-Response Transport

service

File Transport

service Stored Data

Output Data

IEC61162-450

ISO/CD 19848 Format data

File based on ISO/CD 19848

Data Streaming



ISO / CD 19848 – Naming rule & data standard –

Standardized ID of sensors, common data model & format

ID of sensors • URL compliant naming scheme • Dictionaries (informative)

• JSMEA • DNV-GL

Data model • Data channel list (meta data) • Time series data (data)

Data format • XML with schema definition • JSON/CSV (informative) • CSV (informative)

•

http://IMO1234567/MainEngine/Cylinder1/ExhaustGas/Temp

http://IMO1234567/MainEngine/Cylinder2FO/In/Temp

XML

DataChannel List

XML/JSON CSV

TimeSeries Data

Unit:℃ Range:0-700 ・・・

Unit:℃ Range:0-150 ・・・



SSAP2

Process for ISO (ISO CD19847, ISO CD19848) *

• ISO PWI 19847/19848 were accepted as NP in Aug 2015

• The first ISO/TC8/SC6/WG16 meeting was held in June 2016 in Tokyo

• ISO CD 19847/19848 were accepted in Nov 2016

• Drafting of ISO DIS 19847/19848 undergoes. – Many contribution from Norway, Finland and

Denmark

• 2 DISs will be distributed soon for comment and voting to the P-members of ISO/TC8/SC6

NP

WD

CD

DIS

FDIS

IS

2016

2017

2018 Aug 2018 Final dead line

2015

Aug 2015 Registered as NP

Now

Dec 2017 Fastest path

・NP: New work item Proposal, WD: Working Draft ・CD: Committee Draft, DIS: Draft International Standard ・FDIS: Final Draft International Standard, IS: International Standard



Outline







Integrated bridge operation

Reference) ULSTEIN BRIDGE CONCEPT

Objective

• Prevent collisions

• Reduce workloads of crews

• Contingency backup

Measure

• Integrated bridge system

• Enhanced situational awareness

• Remote operation

• Autonomous ship

Infrastructure & regulation are very important



A possible scenario - integrated operations (IO) for ocean-going vessels ? -

PPTO perspective is crucial

People, Processes, Technology and Organization

Limited integration

Integration across on- and

offshore

Integration across companies

• Traditional practice • Periodic onshore support

• Integrated onshore and offshore processes and centers

• Continuous onshore support

• Integrated operator and vendor centers

• Automated processes • Digital services and 24/7 operations

Reference) • http://www.iocenter.no/system/files/sites/default/files/IO_Conference/IO14/

Presentations/P5_Heitmann%20Hansen.pdf • T. Rosendahl and V. Hepso, Integrated Operations in the Oil and Gas Industry:

Sustainability and Capability Development 1st Edition, IGI Global, 2012

• It is just an example from O&G offshore

• But, we have to think - until which extent and how will we utilize IO ?

http://www.iocenter.no/system/files/sites/default/files/IO_Conference/IO14/Presentations/P5_Heitmann Hansen.pdf










Cyber Security onboard ships - towards cyber resilient ships and operations -

Cyber security guidelines

• IMO, MSC – interim guidelines on cyber risk management (Jun 2016)

• BIMCO – the guidelines on cyber security onboard ships (Feb 2016)

• DNV-GL – Recommended Practice: Cyber security resilience management for ships and mobile offshore units in operation (Sep 2016)

Risk management on cyber security (BIMCO)

1. Understanding the cyber threat

2. Assessing the risk

3. Reducing the risk

4. Developing contingency plans

In Japan, JSTRA started a study group of cyber security in Aug 2016 and will continue for 3 years

BIMCO, Feb 2016



A roadmap regarding digitalization toward 2020

Topic 2016 2017 2018 2019 2020

Application

R&D projects (e.g. i-Shpping in Japan and autonomous ships in Europe)

PHM*1 services & products (Machinery & equipment)

IT and IoT utilization in fleet operation

Plat form

Ship IoT standardization (ISO CD 19847/19848) and other ISOs

Ship data center

Regula

tory

Cyber security

MRV *2

e-Navigation and autonomous ship regulations

*1 PHM: Prognostics and Health Monitoring, *2 MRV: Monitoring Reporting and Verification

R&D projects (Navigation, engine, hull, cargo, operation and etc.)

(FDIS) ISO 19847/19848

Smart Ship related ISOs ?

Condition monitoring and PHM for main engine, machineries and equipment.

Integration of ship with shore operation system. Optimization, automation and simulation technologies.

Trials & Operation

BIMCO guideline, IMO MSC guideline, Class guideline ↔ IACS Cyber Security Panel

EU MRV

IMO MRV

Operation Implementation Standardization Model development

Several autonomous ship projects in Norway, Finland and in other nations



Thank you very much for your attention

digitalization in shipping - current status and way forward -€¦ · digitalization in shipping -...

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